Aadam Quraishi

12 papers Journal 10Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Reinforcement Learning for Dynamic Optimization of Lane Change Intention Recognition for Transportation Networks. IEEE Trans. Intell. Transp. Syst. Haewon Byeon, Mohannad Al-Kubaisi, Aadam Quraishi, Divya Nimma, Tariq Ahamed Ahanger, Ismail Keshta, Faheem Ahmad Reegu, Pardayeva Zulfizar Alimovna, Mukesh Soni
2026	J	`jnl`	Unified Fake News Detection Based on IoST-Driven Joint Detection Models. IEEE Trans. Comput. Soc. Syst. Janjhyam Venkata Naga Ramesh, Sachin Gupta, Aadam Quraishi, Ashit Kumar Dutta, Kumari Priyanka Sinha, G. Siva Nageswara Rao, Nasiba Sherkuziyeva, Divya Nimma, Jagdish Chandra Patni
2025	J	`jnl`	Consumer Technology in Task Offloading and Edge Resource Allocation: AIoT and Edge Computing for Next-Generation Communication. IEEE Trans. Consumer Electron. Haewon Byeon, Mahmood Alsaadi, Aadam Quraishi, Azzah A. Alghamdi, Tariq Ahamed Ahanger, Ismail Keshta, Pardayev Abdunabi Xalikovich, Mukesh Soni, Mohammed Wasim Bhatt
2025	J	`jnl`	Dynamic Weight Allocation-Based Network Security and Anomaly Detection Model for Intelligent VANETs. Trans. Emerg. Telecommun. Technol. Aadam Quraishi, Rakeshnag Dasari, Sushilkumar Dangiya, Sateesh Kumar Nallamala, Krishna Kanth Kondapaka, Swaroop Reddy Gayam, Isa Bayhan, Uguloy Berdieva, Rubal Jeet
2025	J	`jnl`	Edge AI-Based Dynamic Treatment Strategy Generation Model for Consumer Healthcare Technology. IEEE Trans. Consumer Electron. Haewon Byeon, Mahmood Alsaadi, Aadam Quraishi, Mohammad Shabaz, Tariq Ahamed Ahanger, Ismail Keshta, Feruza Saidova, Mukesh Soni, Srinivasa Rao Karumuri
2025	J	`jnl`	Intelligent cognitive internet of things-based spectrum sensing algorithm for future communication. Int. J. Web Grid Serv. Haewon Byeon, Mahmood Alsaadi, Aadam Quraishi, Ismail Keshta, Mukesh Soni, Pankaj Kumar, Mohit Kumar Bhadla, Muhammad Attique Khan, Robertas Damasevicius
2025	J	`jnl`	Post Quantum-Resistant Blind Signature Scheme for Consumer Internet of Things Security. IEEE Trans. Consumer Electron. Mohammed E. Seno, Janjhyam Venkata Naga Ramesh, Aadam Quraishi, Azzah A. Alghamdi, K. D. V. Prasad, Divya Nimma, Yelisela Rajesh, Uguloy Berdieva, Mukesh Soni
2025	J	`jnl`	Tiny Machine Learning Approach for Grid-Based Monitoring of UAV Tracking and Cyber-Physical Systems in Hydraulic Surveying. IEEE Trans. Intell. Transp. Syst. Ajmeera Kiran, Janjhyam Venkata Naga Ramesh, Aadam Quraishi, Jagdish Chandra Patni, Ismail Keshta, Haewon Byeon, Mohan Raparthi, Mukta Sandhu, Mukesh Soni
2024	J	`jnl`	Hybrid disease prediction approach leveraging digital twin and metaverse technologies for health consumer. BMC Medical Informatics Decis. Mak. Chaitanya Kulkarni, Aadam Quraishi, Mohan Raparthi, Mohammad Shabaz, Muhammad Attique Khan, Raj A. Varma, Ismail Keshta, Mukesh Soni, Haewon Byeon
2024	—	`conf`	Next-Generation Advanced Security Systems for Communities Using Integrated IoT and Blockchain Over Cloud Computing 96-106. SNSFAIT Aadam Quraishi, Maher Ali Rusho, Faisal Yousef Alghayadh, V. Mahalakshmi, Mukesh Soni, Mohammed Wasim Bhatt
2024	—	`conf`	Optimized Securty Mechanism for publicly Secret Key Sharing Over Cloud using Blockchain 137-150. SNSFAIT Haewon Byeon, Aadam Quraishi, Praveen Thuniki, Ismail Keshta, Mukesh Soni, Mohammad Shabaz
2024	J	`jnl`	Ubiquitous learning models for 5G communication network utility maximization through utility-based service function chain deployment. Comput. Hum. Behav. Faisal Alghayadh, Janjhyam Venkata Naga Ramesh, Aadam Quraishi, Sarath Babu Dodda, Srihari Maruthi, Mohan Raparthi, Jagdish Chandra Patni, Ahmed Farouk

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.